MacBook Pro (16-inch, 2024)
Geekbench AI Score
5945
Single Precision Score
36525
Half Precision Score
49500
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
16988
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
20463
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23010
373.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31899
517.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18051
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122324
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
228448
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
19039
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23587
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
44009
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
62840
746.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9004
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102709
791.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
175714
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30910
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232938
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
321992
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47980
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78299
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5651
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6454
111.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16262
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16314
281.9 IPS |
